We are seeking a highly motivated Postdoctoral Research Fellow to work on ANRF (PMECRG) funded project on the development of high-fidelity computational and machine-learning frameworks for double-diffusive and salt-finger convection.
The research will combine: Geophysical flows (Double-diffusive convection: Salt-finger convection, Transport phenomena), High-Fidelity Computing, and Reduced-order modeling.
The position offers an opportunity to work at the intersection of fluid mechanics, numerical simulation, HPC, and machine learning.
Key Responsibilities
- Development of high-fidelity numerical simulations of salt-finger and double-diffusive convection
- Development and optimization of GPU-accelerated computational frameworks
- High-performance DNS and large-scale numerical simulations
- Development of machine-learning-based reduced-order models
- Analysis of complex multiscale flow and transport phenomena
- Integration of simulation data with ML/ROM frameworks
- Scientific software development, automation, and large-scale data analysis
Eligibility Criteria
Essential
- Ph.D. in Aerospace Engineering/Mechanical Engineering/Applied Mathematics, or a closely related discipline
- Strong background in computational fluid dynamics and numerical methods
- Demonstrated research experience in computational modelling of fluid flows
Desirable
- At least 1 year of post-Ph.D. research experience in CFD
- Experience with DNS or LES of complex flows
- Strong understanding of turbulence and numerical methods
- Proficiency in Modern Fortran and Python
- Experience with Linux/Unix-based HPC environments
- Exposure to parallel computing using MPI, OpenMP, and/or GPU computing
- Experience with machine learning, reduced-order modelling, or data-driven methods
- Ability to work independently as well as collaboratively in a multidisciplinary research setting
Fellowship and Key Details
Fellowship: ₹58,000 – ₹67,000 per month
Qualification
Fellowship
Ph.D. (0 years experience)
₹58,000/month
Ph.D. + 1 year experience
₹62,000/month
Ph.D. + 2 years experience
₹67,000/month
Additional: +30% HRA if university accommodation is not provided
Duration: Initially 1 year, extendable based on performance
Location: Hyderabad, India
Joining: Flexible
How To Apply
Interested candidates are invited to submit the following documents directly to PI at (
[email protected]):
- Latest CV
- List of publications
- Brief statement of research interests
- Contact details of 2 referees
Principal Investigator Dr. Manjul Sharma
Assistant Professor
Department of Mechanical & Aerospace Engineering
Ecole Centrale School of Engineering
Mahindra University, Hyderabad
Website: https://smanjul.com
📌 Postdoctoral Research Fellow (Hyderabad)
🏢 Mahindra Ecole Centrale
📍 Hyderabad